Visual Exploration of Large-Scale System Evolution

Wettel, Richard; Lanza, Michele

doi:10.1109/wcre.2008.55

Cited by 70 publications

(47 citation statements)

References 30 publications

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“…An excellent overview of software visualization is given by Diehl [23]. Wellknown software visualization systems include Rigi [24], VCG [25], aiSee [26], Mondrian [27], and sv3D [28] (for structure and metrics); and CodeCity [29,30] and SeeSoft [31] (for software evolution).…”

Section: Related Workmentioning

confidence: 99%

The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

Reniers

Voinea

Ersoy

et al. 2014

Science of Computer Programming

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Software visual analytics (SVA) tools combine static program analysis and fact extraction with information visualization to support program comprehension. However, building efficient and effective SVA tools is highly challenging, as it involves extensive software development in program analysis, graphics, information visualization, and interaction. We present a SVA toolset for software maintenance, and detail two of its components which target software structure, metrics and code duplication. We illustrate the toolset's usage for constructing software visualizations with examples in education, research, and industrial contexts. We discuss the design evolution from research prototypes to integrated, scalable, and easy-to-use products, and present several guidelines for the development of efficient and effective SVA solutions.

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Section: Related Workmentioning

confidence: 99%

The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

Reniers

Voinea

Ersoy

et al. 2014

Science of Computer Programming

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show abstract

“…Wettel visualizes the evolution of the entire system by allowing the user to travel in time and observe the changes of the system as they are represented in a 3D city metaphor [36]. In the Yarn tool, Hindle et al present an animation of the evolution of the architecture of a system [16].…”

Section: Related Workmentioning

confidence: 99%

Replaying past changes in multi-developer projects

Hattori

Lungu

Lanza

2010

Proceedings of the Joint ERCIM Workshop on Software Evolution (EVOL) and International Workshop on Principles of Software Evolu

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What was I working on before the weekend? and What were the members of the my team working on during the last week? are common questions that are frequently asked by a developer. They can be answered if one keeps track of who changes what in the source code. In this work, we present Replay, a tool that allows one to replay past changes as they happened at a fine-grained level, where a developer can watch what she has done or understand what her colleagues have done in past development sessions. With this tool, developers are able to not only understand what sequence of changes brought the system to a certain state (e.g., the introduction of a defect), but also deduce reasons for why her colleagues performed those changes. One of the applications of such a tool is also discovering the changes that broke the code of a developer.

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“…The Wettel and Lanza CodeCity visualization tool, presented in Section 4.3, shows the evolution of a software by stepping back and forth through the history of the system while the city updates itself to reflect the currently displayed version [48]. The age map color mapping (defined in Section 5.2) is used to depict the age distribution of classes in the software.…”

Section: Visualizing Software Metrics Evolutionmentioning

confidence: 99%

Visualization of the Static Aspects of Software: A Survey

Caserta

Zendra

2011

IEEE Trans. Visual. Comput. Graphics

113

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Abstract-Software is usually complex and always intangible. In practice, the development and maintenance processes are timeconsuming activities mainly because software complexity is difficult to manage. Graphical visualization of software has the potential to result in a better and faster understanding of its design and functionality, thus saving time and providing valuable information to improve its quality. However, visualizing software is not an easy task because of the huge amount of information comprised in the software. Furthermore, the information content increases significantly once the time dimension to visualize the evolution of the software is taken into account. Human perception of information and cognitive factors must thus be taken into account to improve the understandability of the visualization. In this paper, we survey visualization techniques, both 2D-and 3D-based, representing the static aspects of the software and its evolution. We categorize these techniques according to the issues they focus on, in order to help compare them and identify the most relevant techniques and tools for a given problem.

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Visual Exploration of Large-Scale System Evolution

Cited by 70 publications

References 30 publications

The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

Replaying past changes in multi-developer projects

Visualization of the Static Aspects of Software: A Survey

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